Information transfer rate in fMRI experiments measured using mutual information theory

Journal of Neuroscience Methods

Volumn 167, Issue 1, 2008, Pages 22-30

  Ward, B Douglas ^a   Mazaheri, Yousef ^b  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

Brain computer interface (BCI); Functional magnetic resonance imaging (fMRI); Information theory; Information transfer rate; Mutual information rate (MIR)

Indexed keywords

ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; DATA ANALYSIS; DATA EXTRACTION; EXPERIMENTAL DESIGN; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; INFORMATION SCIENCE; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL NOISE RATIO; TECHNIQUE;

ADULT; BRAIN; FEMALE; HUMANS; INFORMATION THEORY; MAGNETIC RESONANCE IMAGING; MALE; MONTE CARLO METHOD; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; OXYGEN; USER-COMPUTER INTERFACE;

EID: 36549003094     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2007.06.027     Document Type: Article

References (20)

1. Abramson N. Information theory coding (1963), McGraw-Hill, New York
2. Birbaumer N. Neurobiology. Rain man's revelations. Nature 399 (1999) 211-212
3. Birbaumer N., and Cohen L.G. Brain-computer-interfaces(BCI): communication and restoration of movement in paralysis. J Physiol (2007)
4. Boynton G.M., Engel S.A., Glover G.H., and Heeger D.J. Linear systems analysis of functional magnetic resonance imaging in human V1. J Neurosci 16 (1996) 4207-4221
5. Cohen M.S. Parametric analysis of fMRI data using linear systems methods. Neuroimage 6 (1997) 93-103
6. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29 (1996) 162-173
7. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage 9 (1999) 416-429
8. Jones D.S. Elementary information theory (1979), Oxford University Press, UK
9. Kotchoubey B., Strehl U., Uhlmann C., et al. Modification of slow cortical potentials in patients with refractory epilepsy: a controlled outcome study. Epilepsia 42 (2001) 406-416
10. Kubler A., Neumann N., Kaiser J., Kotchoubey B., Hinterberger T., and Birbaumer N.P. Brain-computer communication: self-regulation of slow cortical potentials for verbal communication. Arch Phys Med Rehabil 82 (2001) 1533-1539
11. Lauer R.T., Peckham P.H., Kilgore K.L., and Heetderks W.J. Applications of cortical signals to neuroprosthetic control: a critical review. IEEE Trans Rehabil Eng 8 (2000) 205-208
12. Logothetis N.K., Pauls J., Augath M., Trinath T., and Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature 412 (2001) 150-157
13. Pfurtscheller G., Guger C., Muller G., Krausz G., and Neuper C. Brain oscillations control hand orthosis in a tetraplegic. Neurosci Lett 292 (2000) 211-214
14. Shannon S.E. A mathematical theory of communication. Bell Syst Tech J 27 379-423 (1948) 623-656
15. Taub H., and Schilling D.L. Principles of communication systems (1986), McGraw-Hill, City College, NY
16. Ward B.D., and Mazaheri Y. Mutual Information Rate as an Objective Criterion for Comparison of fMRI Experimental Designs. Proceedings of the 12th Meeting, Intl. Soc. Magn. Reson. Med (2004) 2528
17. Ward B.D., and Mazaheri Y. State-space estimation of the input stimulus function using the Kalman filter: a communication system model for fMRI experiments. J Neurosci Methods 158 (2006) 271-278
18. Wink A.M., and Roerdink J.B. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing. IEEE Trans Med Imaging 23 (2004) 374-387
19. Wolpaw J.R., Birbaumer N., Heetderks W.J., et al. Brain-computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng 8 (2000) 164-173
20. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., and Vaughan T.M. Brain-computer interfaces for communication and control. Clin Neurophysiol 113 (2002) 767-791